RRepoGEO

REPOGEO REPORT · LITE

npiv/chatblade

Default branch main · commit 30bbeb48 · scanned 5/24/2026, 3:06:53 PM

GitHub: 2,599 stars · 89 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface npiv/chatblade, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Update repository description to reflect archived status and historical context

    Why:

    CURRENT
    A CLI Swiss Army Knife for ChatGPT
    COPY-PASTE FIX
    Archived: A historical CLI Swiss Army Knife for ChatGPT, no longer maintained. See `llm` or `Fabric` for modern alternatives.
  • mediumtopics#2
    Add topics to clarify archived status and recommended alternatives

    Why:

    CURRENT
    chatgpt, cli
    COPY-PASTE FIX
    chatgpt, cli, archived, llm-tooling, legacy-project, llm-cli-alternatives
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/npiv/chatblade

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface npiv/chatblade
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ollama/ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ollama/ollama · recommended 1×
  2. LM Studio · recommended 1×
  3. BerriAI/litellm · recommended 1×
  4. OpenAI CLI · recommended 1×
  5. Anthropic CLI · recommended 1×
  • CATEGORY QUERY
    What are some command-line interface tools for interacting with large language models?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. LiteLLM (BerriAI/litellm)
    4. OpenAI CLI
    5. Anthropic CLI
    6. Hugging Face `transformers` library (huggingface/transformers)
    7. `cURL` (curl/curl)

    AI recommended 7 alternatives but never named npiv/chatblade. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I pipe text from the terminal into an AI model and get structured responses?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. curl
    3. openai library
    4. Anthropic Claude API
    5. anthropic library
    6. Google Gemini API
    7. google-generativeai Python library
    8. Mistral AI API
    9. mistralai library
    10. Ollama
    11. requests

    AI recommended 11 alternatives but never named npiv/chatblade. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of npiv/chatblade?
    pass
    AI did not name npiv/chatblade — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts npiv/chatblade in production, what risks or prerequisites should they evaluate first?
    pass
    AI named npiv/chatblade explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo npiv/chatblade solve, and who is the primary audience?
    pass
    AI named npiv/chatblade explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of npiv/chatblade. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/npiv/chatblade.svg)](https://repogeo.com/en/r/npiv/chatblade)
HTML
<a href="https://repogeo.com/en/r/npiv/chatblade"><img src="https://repogeo.com/badge/npiv/chatblade.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

npiv/chatblade — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite